2025-03-21 15:22.29: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (f6ea3750d181d26e3fd23df51a415f362cff8525) (linux-x86_64:(lower-bound)) Base: ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard f6ea3750 cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71 # debian-12-5.2_opam-2.3 USER 1000:1000 ENV CLICOLOR_FORCE="1" ENV OPAMCOLOR="always" WORKDIR /src RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam RUN opam init --reinit -ni RUN uname -rs && opam exec -- ocaml -version && opam --version WORKDIR /src RUN sudo chown opam /src RUN cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./ RUN opam pin add -yn neural_nets_lib.dev './' && \ opam pin add -yn arrayjit.dev './' RUN echo '(lang dune 3.0)' > './dune-project' ENV DEPS="angstrom.0.15.0 backoff.0.1.0 base.v0.17.0 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.5.0 conf-libffi.2.0.0 conf-pkg-config.1.0 cppo.1.6.7 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.14.0 dune-configurator.2.7.0 fieldslib.v0.17.0 integers.0.6.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.0.0 multicore-magic.2.3.0 num.1.0 ocaml.5.2.1 ocaml-base-compiler.5.2.1 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.0 ocamlbuild.0.14.3 ocamlfind.1.9.6 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.5.2 ppx_enumerate.v0.17.0 ppx_expect.v0.17.0 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.32.1 ppxlib_jane.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.0.8.6 re.1.9.0 result.1.5 saturn_lockfree.0.5.0 seq.0.3 sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.1.0 time_now.v0.17.0 topkg.1.0.6 tyxml.4.4.0 uucp.13.0.0 uutf.1.0.3 variantslib.v0.17.0" ENV CI="true" ENV OCAMLCI="true" RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS RUN opam install $DEPS COPY --chown=1000:1000 . /src RUN opam exec -- dune build @install @check @runtest && rm -rf _build END-OF-DOCKERFILE docker build . END-REPRO-BLOCK 2025-03-21 15:22.29: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71-debian-12-5.2_opam-2.3-b52341ba23877e94ae09b5dde4872bfa" 2025-03-21 15:22.29: Using OBuilder spec: ((from ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71) (comment debian-12-5.2_opam-2.3) (user (uid 1000) (gid 1000)) (env CLICOLOR_FORCE 1) (env OPAMCOLOR always) (workdir /src) (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) (run (shell "opam init --reinit -ni")) (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) (workdir /src) (run (shell "sudo chown opam /src")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) (env DEPS "angstrom.0.15.0 backoff.0.1.0 base.v0.17.0 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.5.0 conf-libffi.2.0.0 conf-pkg-config.1.0 cppo.1.6.7 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.14.0 dune-configurator.2.7.0 fieldslib.v0.17.0 integers.0.6.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.0.0 multicore-magic.2.3.0 num.1.0 ocaml.5.2.1 ocaml-base-compiler.5.2.1 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.0 ocamlbuild.0.14.3 ocamlfind.1.9.6 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.5.2 ppx_enumerate.v0.17.0 ppx_expect.v0.17.0 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.32.1 ppxlib_jane.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.0.8.6 re.1.9.0 result.1.5 saturn_lockfree.0.5.0 seq.0.3 sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.1.0 time_now.v0.17.0 topkg.1.0.6 tyxml.4.4.0 uucp.13.0.0 uutf.1.0.3 variantslib.v0.17.0") (env CI true) (env OCAMLCI true) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) (copy (src .) (dst /src)) (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) ) 2025-03-21 15:22.29: Waiting for resource in pool OCluster 2025-03-21 15:22.29: Waiting for worker… 2025-03-21 15:25.26: Got resource from pool OCluster Building on toxis.caelum.ci.dev All commits already cached HEAD is now at f6ea3750 Untested: revert the Cmpne primitive op: can be used to test for NaN (x <> x ==> x = NaN) (from ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71) 2025-03-21 15:26.07 ---> saved as "38896d45c132e80618e0ea619c3f1eaa7c74f33d36affcfd5cb62a4306714da8" /: (comment debian-12-5.2_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-03-21 15:26.07 ---> saved as "3d0e7e63412167c499341f1181b172ea6ec9ca5bf81b7c396cb3e336abf0340f" /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y Format upgrade done. [NOTE] The 'jobs' option was reset, its value was 39 and its new value will vary according to the current number of cores on your machine. You can restore the fixed value using: opam option jobs=39 --global <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com" [default] synchronised from file:///home/opam/opam-repository 2025-03-21 15:27.56 ---> saved as "cc601c78ac214415c83b6ec0bc7840029b6ce55de18a34aea04b80f75512f2a5" /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.2.1 2.3.0 2025-03-21 15:27.57 ---> saved as "18f62663459dbff01fb684078274d620563485d9637901154dd6fddd17ab5ffc" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-21 15:27.57 ---> saved as "1f4800f05b74f7563c3437c421c17e1a0e4a5d2253bb31d8c70d9fec1010be7b" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD a8ed476033..acfb0e6e94 master -> origin/master 4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0 <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [opam-repository-archive] synchronised from git+https://github.com/ocaml/opam-repository-archive [default] synchronised from file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-03-21 15:29.32 ---> saved as "fb0ede5a6901175d2597f7c70aa2212a1aad82bfce33c2dec7de7c3ba52d706b" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-21 15:29.32 ---> saved as "f2f5ebcb90fe4d7778d0156232e743d8dbe87e1e3ca2a12d09b4c5932b870185" /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-03-21 15:29.37 ---> saved as "1536b2bf4ebd8d93704b8bcc35a2edf06e6e8f3e640f27ad399435c604c46fa9" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-21 15:29.37 ---> saved as "c5aa8a4dae4992cad2d16d181872cb61df57e38fdd7ac420b38540c51ab6f201" /src: (env DEPS "angstrom.0.15.0 backoff.0.1.0 base.v0.17.0 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.5.0 conf-libffi.2.0.0 conf-pkg-config.1.0 cppo.1.6.7 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.14.0 dune-configurator.2.7.0 fieldslib.v0.17.0 integers.0.6.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.0.0 multicore-magic.2.3.0 num.1.0 ocaml.5.2.1 ocaml-base-compiler.5.2.1 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.0 ocamlbuild.0.14.3 ocamlfind.1.9.6 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.5.2 ppx_enumerate.v0.17.0 ppx_expect.v0.17.0 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.32.1 ppxlib_jane.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.0.8.6 re.1.9.0 result.1.5 saturn_lockfree.0.5.0 seq.0.3 sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.1.0 time_now.v0.17.0 topkg.1.0.6 tyxml.4.4.0 uucp.13.0.0 uutf.1.0.3 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/bin/sudo "apt-get" "update" - Hit:1 http://deb.debian.org/debian bookworm InRelease - Get:2 http://deb.debian.org/debian bookworm-updates InRelease [55.4 kB] - Get:3 http://deb.debian.org/debian-security bookworm-security InRelease [48.0 kB] - Get:4 http://deb.debian.org/debian-security bookworm-security/main amd64 Packages [249 kB] - Fetched 353 kB in 1s (593 kB/s) - Reading package lists... - <><> Synchronising pinned packages ><><><><><><><><><><><><><><><><><><><><><><> [neural_nets_lib.dev] synchronised (file:///src) [arrayjit.dev] synchronised (file:///src) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.2.1). [NOTE] Package ocaml is already installed (current version is 5.2.1). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following system packages will first need to be installed: libffi-dev pkg-config <><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><> + /usr/bin/sudo "apt-get" "install" "-qq" "-yy" "libffi-dev" "pkg-config" - debconf: delaying package configuration, since apt-utils is not installed - Selecting previously unselected package libffi-dev:amd64. - (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 18776 files and directories currently installed.) - Preparing to unpack .../libffi-dev_3.4.4-1_amd64.deb ... - Unpacking libffi-dev:amd64 (3.4.4-1) ... - Selecting previously unselected package libpkgconf3:amd64. - Preparing to unpack .../libpkgconf3_1.8.1-1_amd64.deb ... - Unpacking libpkgconf3:amd64 (1.8.1-1) ... - Selecting previously unselected package pkgconf-bin. - Preparing to unpack .../pkgconf-bin_1.8.1-1_amd64.deb ... - Unpacking pkgconf-bin (1.8.1-1) ... - Selecting previously unselected package pkgconf:amd64. - Preparing to unpack .../pkgconf_1.8.1-1_amd64.deb ... - Unpacking pkgconf:amd64 (1.8.1-1) ... - Selecting previously unselected package pkg-config:amd64. - Preparing to unpack .../pkg-config_1.8.1-1_amd64.deb ... - Unpacking pkg-config:amd64 (1.8.1-1) ... - Setting up libffi-dev:amd64 (3.4.4-1) ... - Setting up libpkgconf3:amd64 (1.8.1-1) ... - Setting up pkgconf-bin (1.8.1-1) ... - Setting up pkgconf:amd64 (1.8.1-1) ... - Setting up pkg-config:amd64 (1.8.1-1) ... - Processing triggers for libc-bin (2.36-9+deb12u10) ... 2025-03-21 15:30.13 ---> saved as "5413d90b88bfad68372a87ba6af93a5c804fd152971fa170c50329eac12afcf9" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.2.1). [NOTE] Package ocaml is already installed (current version is 5.2.1). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 65 packages - install angstrom 0.15.0 - install backoff 0.1.0 - install base v0.17.0 - install bigarray-compat 1.1.0 - install bigstringaf 0.5.0 - install conf-libffi 2.0.0 - install conf-pkg-config 1.0 - install cppo 1.6.7 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.14.0 - install dune-configurator 2.7.0 - install fieldslib v0.17.0 - install integers 0.6.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install mtime 2.0.0 - install multicore-magic 2.3.0 - install num 1.0 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml_intrinsics_kernel v0.17.0 - install ocamlbuild 0.14.3 - install ocamlfind 1.9.6 - install parsexp v0.17.0 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 5.2 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.0 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.1.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.32.1 - install ppxlib_jane v0.17.0 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 0.8.6 - install re 1.9.0 - install result 1.5 - install saturn_lockfree 0.5.0 - install seq 0.3 - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.1.0 - install time_now v0.17.0 - install topkg 1.0.6 - install tyxml 4.4.0 - install uucp 13.0.0 - install uutf 1.0.3 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.0 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved angstrom.0.15.0 (cached) -> retrieved base.v0.17.0 (cached) -> retrieved bigstringaf.0.5.0 (cached) -> retrieved cppo.1.6.7 (cached) -> installed conf-pkg-config.1.0 -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> retrieved dune-configurator.2.7.0 (cached) -> retrieved dune.3.14.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved integers.0.6.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved mtime.2.0.0 (cached) -> retrieved multicore-magic.2.3.0 (cached) -> retrieved num.1.0 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.0 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved ocamlbuild.0.14.3 (cached) -> retrieved ocamlfind.1.9.6 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_deriving.5.2 (cached) -> retrieved ppx_expect.v0.17.0 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_minidebug.2.1.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.0 (cached) -> retrieved ptime.0.8.6 (cached) -> retrieved re.1.9.0 (cached) -> retrieved ppxlib.0.32.1 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved result.1.5 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved seq.0.3 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.1.0 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.6 (cached) -> retrieved tyxml.4.4.0 (cached) -> retrieved uutf.1.0.3 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.13.0.0 (cached) -> installed ocamlfind.1.9.6 -> installed num.1.0 -> installed ocamlbuild.0.14.3 -> installed topkg.1.0.6 -> installed uutf.1.0.3 -> installed mtime.2.0.0 -> installed ptime.0.8.6 -> installed dune.3.14.0 -> installed backoff.0.1.0 -> installed bigarray-compat.1.1.0 -> installed bigstringaf.0.5.0 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed seq.0.3 -> installed printbox.0.12 -> installed result.1.5 -> installed stdlib-shims.0.1.0 -> installed ocaml_intrinsics_kernel.v0.17.0 -> installed multicore-magic.2.3.0 -> installed sexplib0.v0.17.0 -> installed cppo.1.6.7 -> installed integers.0.6.0 -> installed ocaml-syntax-shims.1.0.0 -> installed dune-configurator.2.7.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed saturn_lockfree.0.5.0 -> installed re.1.9.0 -> installed angstrom.0.15.0 -> installed parsexp.v0.17.0 -> installed sexplib.v0.17.0 -> installed tyxml.4.4.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.0 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed uucp.13.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.32.1 -> installed ppx_optcomp.v0.17.0 -> installed ppxlib_jane.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_deriving.5.2 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_base.v0.17.0 -> installed ppx_minidebug.2.1.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.0 Done. # To update the current shell environment, run: eval $(opam env) 2025-03-21 15:32.40 ---> saved as "a706c3e8811936c940cce32ac493171bae38f86f52811ed8e079c228989c062b" /src: (copy (src .) (dst /src)) 2025-03-21 15:32.40 ---> saved as "8bf262c2b4e447f6139393d95b30e610c6c668d8d90549df6fcc424d9c48787d" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/59e252b5ef71f358741287db3b06d3e8/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/7d32d7a43e44274597b27a0aa7c3d239/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/59e252b5ef71f358741287db3b06d3e8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/59e252b5ef71f358741287db3b06d3e8/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition '' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/59e252b5ef71f358741287db3b06d3e8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/59e252b5ef71f358741287db3b06d3e8/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Retrieving commandline, environment, or config file variable ocannl_log_level' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/59e252b5ef71f358741287db3b06d3e8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/59e252b5ef71f358741287db3b06d3e8/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Found 0, in the config file' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/59e252b5ef71f358741287db3b06d3e8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/59e252b5ef71f358741287db3b06d3e8/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition primitive_ops.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/59e252b5ef71f358741287db3b06d3e8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/59e252b5ef71f358741287db3b06d3e8/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition zero2hero_1of7.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/59e252b5ef71f358741287db3b06d3e8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/59e252b5ef71f358741287db3b06d3e8/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition hello_world_op.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/59e252b5ef71f358741287db3b06d3e8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/59e252b5ef71f358741287db3b06d3e8/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition einsum_trivia.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/59e252b5ef71f358741287db3b06d3e8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/59e252b5ef71f358741287db3b06d3e8/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition micrograd_demo.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/59e252b5ef71f358741287db3b06d3e8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/59e252b5ef71f358741287db3b06d3e8/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition moons_demo_parallel.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/59e252b5ef71f358741287db3b06d3e8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found cc, in the config file Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199000, batch loss=0.849657, epoch loss=35.625039 Batch=299, step=300, lr=0.199000, batch loss=1.445660, epoch loss=37.070699 Batch=359, step=360, lr=0.198750, batch loss=1.330503, epoch loss=38.401201 Batch=419, step=420, lr=0.198500, batch loss=0.617977, epoch loss=39.019178 Batch=479, step=480, lr=0.198250, batch loss=0.823210, epoch loss=39.842389 Batch=539, step=540, lr=0.198000, batch loss=0.688590, epoch loss=40.530979 Batch=599, step=600, lr=0.197500, batch loss=1.065628, epoch loss=41.596607 Batch=659, step=660, lr=0.197500, batch loss=0.482905, epoch loss=42.079512 Batch=719, step=720, lr=0.197250, batch loss=0.411244, epoch loss=42.490757 Batch=779, step=780, lr=0.197000, batch loss=0.468808, epoch loss=42.959564 Batch=839, step=840, lr=0.196750, batch loss=0.443103, epoch loss=43.402667 Batch=899, step=900, lr=0.196500, batch loss=0.383681, epoch loss=43.786348 Batch=959, step=960, lr=0.196250, batch loss=0.237303, epoch loss=44.023651 Batch=1019, step=1020, lr=0.196000, batch loss=0.440082, epoch loss=44.463734 Batch=1079, step=1080, lr=0.195750, batch loss=0.229569, epoch loss=44.693303 Batch=1139, step=1140, lr=0.195500, batch loss=0.314944, epoch loss=45.008247 Batch=1199, step=1200, lr=0.195250, batch loss=0.263233, epoch loss=45.271480 Epoch=0, step=1200, lr=0.195250, epoch loss=45.271480 Batch=59, step=1260, lr=0.195000, batch loss=0.262390, epoch loss=0.262390 Batch=119, step=1320, lr=0.194750, batch loss=0.210945, epoch loss=0.473335 Batch=179, step=1380, lr=0.194500, batch loss=0.244722, epoch loss=0.718057 Batch=239, step=1440, lr=0.194250, batch loss=0.352789, epoch loss=1.070845 Batch=299, step=1500, lr=0.194000, batch loss=0.238591, epoch loss=1.309437 Batch=359, step=1560, lr=0.193750, batch loss=0.312106, epoch loss=1.621543 Batch=419, step=1620, lr=0.193500, batch loss=0.308920, epoch loss=1.930463 Batch=479, step=1680, lr=0.193250, batch loss=0.272939, epoch loss=2.203402 Batch=539, step=1740, lr=0.193000, batch loss=0.212366, epoch loss=2.415768 Batch=599, step=1800, lr=0.192750, batch loss=0.263254, epoch loss=2.679022 Batch=659, step=1860, lr=0.192500, batch loss=0.376215, epoch loss=3.055237 Batch=719, step=1920, lr=0.192250, batch loss=0.358229, epoch loss=3.413466 Batch=779, step=1980, lr=0.192000, batch loss=0.388069, epoch loss=3.801535 Batch=839, step=2040, lr=0.191750, batch loss=0.346475, epoch loss=4.148010 Batch=899, step=2100, lr=0.191500, batch loss=0.323889, epoch loss=4.471899 Batch=959, step=2160, lr=0.191250, batch loss=0.257637, epoch loss=4.729536 Batch=1019, step=2220, lr=0.191000, batch loss=0.392223, epoch loss=5.121759 Batch=1079, step=2280, lr=0.190750, batch loss=0.246378, epoch loss=5.368137 Batch=1139, step=2340, lr=0.190500, batch loss=0.306170, epoch loss=5.674307 Batch=1199, step=2400, lr=0.190250, batch loss=0.216237, epoch loss=5.890543 Epoch=1, step=2400, lr=0.190250, epoch loss=5.890543 Batch=59, step=2460, lr=0.190000, batch loss=0.233321, epoch loss=0.233321 Batch=119, step=2520, lr=0.189750, batch loss=0.195403, epoch loss=0.428724 Batch=179, step=2580, lr=0.189500, batch loss=0.223741, epoch loss=0.652465 Batch=239, step=2640, lr=0.189250, batch loss=0.332116, epoch loss=0.984581 Batch=299, step=2700, lr=0.189000, batch loss=0.222046, epoch loss=1.206627 Batch=359, step=2760, lr=0.188500, batch loss=0.300830, epoch loss=1.507457 Batch=419, step=2820, lr=0.188500, batch loss=0.285918, epoch loss=1.793375 Batch=479, step=2880, lr=0.188250, batch loss=0.260628, epoch loss=2.054003 Batch=539, step=2940, lr=0.188000, batch loss=0.198183, epoch loss=2.252186 Batch=599, step=3000, lr=0.187750, batch loss=0.236481, epoch loss=2.488667 Batch=659, step=3060, lr=0.187500, batch loss=0.343869, epoch loss=2.832537 Batch=719, step=3120, lr=0.187250, batch loss=0.345758, epoch loss=3.178294 Batch=779, step=3180, lr=0.187000, batch loss=0.367169, epoch loss=3.545463 Batch=839, step=3240, lr=0.186750, batch loss=0.324404, epoch loss=3.869867 Batch=899, step=3300, lr=0.186500, batch loss=0.283022, epoch loss=4.152889 Batch=959, step=3360, lr=0.186250, batch loss=0.220380, epoch loss=4.373269 Batch=1019, step=3420, lr=0.186000, batch loss=0.339720, epoch loss=4.712990 Batch=1079, step=3480, lr=0.185750, batch loss=0.184272, epoch loss=4.897262 Batch=1139, step=3540, lr=0.185500, batch loss=0.228833, epoch loss=5.126095 Batch=1199, step=3600, lr=0.185250, batch loss=0.202742, epoch loss=5.328837 Epoch=2, step=3600, lr=0.185250, epoch loss=5.328837 Batch=59, step=3660, lr=0.185000, batch loss=0.233011, epoch loss=0.233011 Batch=119, step=3720, lr=0.184750, batch loss=0.195303, epoch loss=0.428314 Batch=179, step=3780, lr=0.184500, batch loss=0.212440, epoch loss=0.640754 Batch=239, step=3840, lr=0.184250, batch loss=0.316254, epoch loss=0.957008 Batch=299, step=3900, lr=0.184000, batch loss=0.206926, epoch loss=1.163934 Batch=359, step=3960, lr=0.183750, batch loss=0.286947, epoch loss=1.450881 Batch=419, step=4020, lr=0.183500, batch loss=0.275449, epoch loss=1.726330 Batch=479, step=4080, lr=0.183250, batch loss=0.258561, epoch loss=1.984891 Batch=539, step=4140, lr=0.183000, batch loss=0.195880, epoch loss=2.180771 Batch=599, step=4200, lr=0.182750, batch loss=0.237603, epoch loss=2.418374 Batch=659, step=4260, lr=0.182500, batch loss=0.330836, epoch loss=2.749210 Batch=719, step=4320, lr=0.182250, batch loss=0.334480, epoch loss=3.083691 Batch=779, step=4380, lr=0.182000, batch loss=0.356723, epoch loss=3.440413 Batch=839, step=4440, lr=0.181750, batch loss=0.313487, epoch loss=3.753901 Batch=899, step=4500, lr=0.181500, batch loss=0.279217, epoch loss=4.033117 Batch=959, step=4560, lr=0.181250, batch loss=0.208602, epoch loss=4.241719 Batch=1019, step=4620, lr=0.181000, batch loss=0.314701, epoch loss=4.556420 Batch=1079, step=4680, lr=0.180750, batch loss=0.203037, epoch loss=4.759457 Batch=1139, step=4740, lr=0.180500, batch loss=0.244625, epoch loss=5.004082 Batch=1199, step=4800, lr=0.180250, batch loss=0.191841, epoch loss=5.195923 Epoch=3, step=4800, lr=0.180250, epoch loss=5.195923 Batch=59, step=4860, lr=0.180000, batch loss=0.226201, epoch loss=0.226201 Batch=119, step=4920, lr=0.179750, batch loss=0.190109, epoch loss=0.416310 Batch=179, step=4980, lr=0.179500, batch loss=0.206757, epoch loss=0.623067 Batch=239, step=5040, lr=0.179250, batch loss=0.307469, epoch loss=0.930535 Batch=299, step=5100, lr=0.179000, batch loss=0.202261, epoch loss=1.132797 Batch=359, step=5160, lr=0.178750, batch loss=0.273732, epoch loss=1.406529 Batch=419, step=5220, lr=0.178500, batch loss=0.265236, epoch loss=1.671765 Batch=479, step=5280, lr=0.178250, batch loss=0.239936, epoch loss=1.911700 Batch=539, step=5340, lr=0.178000, batch loss=0.190886, epoch loss=2.102586 Batch=599, step=5400, lr=0.177750, batch loss=0.229969, epoch loss=2.332556 Batch=659, step=5460, lr=0.177500, batch loss=0.325445, epoch loss=2.658001 Batch=719, step=5520, lr=0.177250, batch loss=0.334166, epoch loss=2.992167 Batch=779, step=5580, lr=0.177000, batch loss=0.342706, epoch loss=3.334873 Batch=839, step=5640, lr=0.176750, batch loss=0.309886, epoch loss=3.644759 Batch=899, step=5700, lr=0.176500, batch loss=0.272758, epoch loss=3.917517 Batch=959, step=5760, lr=0.176250, batch loss=0.215213, epoch loss=4.132731 Batch=1019, step=5820, lr=0.176000, batch loss=0.335058, epoch loss=4.467789 Batch=1079, step=5880, lr=0.175750, batch loss=0.190072, epoch loss=4.657861 Batch=1139, step=5940, lr=0.175500, batch loss=0.221029, epoch loss=4.878889 Batch=1199, step=6000, lr=0.175250, batch loss=0.187035, epoch loss=5.065924 Epoch=4, step=6000, lr=0.175250, epoch loss=5.065924 Batch=59, step=6060, lr=0.175000, batch loss=0.223683, epoch loss=0.223683 Batch=119, step=6120, lr=0.174750, batch loss=0.186021, epoch loss=0.409705 Batch=179, step=6180, lr=0.174500, batch loss=0.201065, epoch loss=0.610770 Batch=239, step=6240, lr=0.174250, batch loss=0.302769, epoch loss=0.913538 Batch=299, step=6300, lr=0.174000, batch loss=0.210335, epoch loss=1.123873 Batch=359, step=6360, lr=0.173750, batch loss=0.274692, epoch loss=1.398565 Batch=419, step=6420, lr=0.173500, batch loss=0.267483, epoch loss=1.666048 Batch=479, step=6480, lr=0.173250, batch loss=0.241237, epoch loss=1.907285 Batch=539, step=6540, lr=0.173000, batch loss=0.196333, epoch loss=2.103618 Batch=599, step=6600, lr=0.172750, batch loss=0.232566, epoch loss=2.336184 Batch=659, step=6660, lr=0.172500, batch loss=0.313797, epoch loss=2.649980 Batch=719, step=6720, lr=0.172250, batch loss=0.318357, epoch loss=2.968337 Batch=779, step=6780, lr=0.172000, batch loss=0.329449, epoch loss=3.297786 Batch=839, step=6840, lr=0.171750, batch loss=0.301999, epoch loss=3.599785 Batch=899, step=6900, lr=0.171500, batch loss=0.270524, epoch loss=3.870310 Batch=959, step=6960, lr=0.171250, batch loss=0.207842, epoch loss=4.078152 Batch=1019, step=7020, lr=0.171000, batch loss=0.325586, epoch loss=4.403738 Batch=1079, step=7080, lr=0.170750, batch loss=0.174402, epoch loss=4.578139 Batch=1139, step=7140, lr=0.170500, batch loss=0.212867, epoch loss=4.791007 Batch=1199, step=7200, lr=0.170250, batch loss=0.191518, epoch loss=4.982525 Epoch=5, step=7200, lr=0.170250, epoch loss=4.982525 Batch=59, step=7260, lr=0.170000, batch loss=0.223354, epoch loss=0.223354 Batch=119, step=7320, lr=0.169750, batch loss=0.190946, epoch loss=0.414301 Batch=179, step=7380, lr=0.169500, batch loss=0.194989, epoch loss=0.609289 Batch=239, step=7440, lr=0.169250, batch loss=0.290461, epoch loss=0.899750 Batch=299, step=7500, lr=0.169000, batch loss=0.209198, epoch loss=1.108948 Batch=359, step=7560, lr=0.168750, batch loss=0.260372, epoch loss=1.369321 Batch=419, step=7620, lr=0.168500, batch loss=0.255615, epoch loss=1.624936 Batch=479, step=7680, lr=0.168250, batch loss=0.238009, epoch loss=1.862945 Batch=539, step=7740, lr=0.168000, batch loss=0.187082, epoch loss=2.050027 Batch=599, step=7800, lr=0.167750, batch loss=0.226818, epoch loss=2.276845 Batch=659, step=7860, lr=0.167500, batch loss=0.305131, epoch loss=2.581975 Batch=719, step=7920, lr=0.167250, batch loss=0.307682, epoch loss=2.889657 Batch=779, step=7980, lr=0.167000, batch loss=0.321056, epoch loss=3.210713 Batch=839, step=8040, lr=0.166750, batch loss=0.296716, epoch loss=3.507428 Batch=899, step=8100, lr=0.166500, batch loss=0.259197, epoch loss=3.766625 Batch=959, step=8160, lr=0.166250, batch loss=0.208057, epoch loss=3.974682 Batch=1019, step=8220, lr=0.166000, batch loss=0.315842, epoch loss=4.290524 Batch=1079, step=8280, lr=0.165750, batch loss=0.170943, epoch loss=4.461467 Batch=1139, step=8340, lr=0.165500, batch loss=0.207035, epoch loss=4.668502 Batch=1199, step=8400, lr=0.165250, batch loss=0.179437, epoch loss=4.847939 Epoch=6, step=8400, lr=0.165250, epoch loss=4.847939 Batch=59, step=8460, lr=0.165000, batch loss=0.228163, epoch loss=0.228163 Batch=119, step=8520, lr=0.164750, batch loss=0.175470, epoch loss=0.403633 Batch=179, step=8580, lr=0.164500, batch loss=0.187263, epoch loss=0.590896 Batch=239, step=8640, lr=0.164250, batch loss=0.277019, epoch loss=0.867916 Batch=299, step=8700, lr=0.164000, batch loss=0.202763, epoch loss=1.070678 Batch=359, step=8760, lr=0.163750, batch loss=0.250809, epoch loss=1.321487 Batch=419, step=8820, lr=0.163500, batch loss=0.242851, epoch loss=1.564338 Batch=479, step=8880, lr=0.163250, batch loss=0.228982, epoch loss=1.793320 Batch=539, step=8940, lr=0.163000, batch loss=0.177561, epoch loss=1.970881 Batch=599, step=9000, lr=0.162750, batch loss=0.218726, epoch loss=2.189607 Batch=659, step=9060, lr=0.162500, batch loss=0.293144, epoch loss=2.482751 Batch=719, step=9120, lr=0.162250, batch loss=0.296655, epoch loss=2.779406 Batch=779, step=9180, lr=0.162000, batch loss=0.315047, epoch loss=3.094453 Batch=839, step=9240, lr=0.161750, batch loss=0.282006, epoch loss=3.376460 Batch=899, step=9300, lr=0.161500, batch loss=0.253239, epoch loss=3.629698 Batch=959, step=9360, lr=0.161250, batch loss=0.188014, epoch loss=3.817712 Batch=1019, step=9420, lr=0.161000, batch loss=0.315582, epoch loss=4.133294 Batch=1079, step=9480, lr=0.160750, batch loss=0.188834, epoch loss=4.322128 Batch=1139, step=9540, lr=0.160500, batch loss=0.211670, epoch loss=4.533798 Batch=1199, step=9600, lr=0.160250, batch loss=0.167502, epoch loss=4.701300 Epoch=7, step=9600, lr=0.160250, epoch loss=4.701300 Batch=59, step=9660, lr=0.160000, batch loss=0.200599, epoch loss=0.200599 Batch=119, step=9720, lr=0.159750, batch loss=0.164858, epoch loss=0.365457 Batch=179, step=9780, lr=0.159500, batch loss=0.179171, epoch loss=0.544628 Batch=239, step=9840, lr=0.159250, batch loss=0.264350, epoch loss=0.808978 Batch=299, step=9900, lr=0.159000, batch loss=0.181328, epoch loss=0.990306 Batch=359, step=9960, lr=0.158750, batch loss=0.242328, epoch loss=1.232635 Batch=419, step=10020, lr=0.158500, batch loss=0.233618, epoch loss=1.466253 Batch=479, step=10080, lr=0.158250, batch loss=0.213116, epoch loss=1.679370 Batch=539, step=10140, lr=0.158000, batch loss=0.172017, epoch loss=1.851386 Batch=599, step=10200, lr=0.157750, batch loss=0.201235, epoch loss=2.052621 Batch=659, step=10260, lr=0.157500, batch loss=0.281072, epoch loss=2.333693 Batch=719, step=10320, lr=0.157250, batch loss=0.280524, epoch loss=2.614217 Batch=779, step=10380, lr=0.157000, batch loss=0.297926, epoch loss=2.912143 Batch=839, step=10440, lr=0.156750, batch loss=0.273199, epoch loss=3.185342 Batch=899, step=10500, lr=0.156500, batch loss=0.238003, epoch loss=3.423345 Batch=959, step=10560, lr=0.156250, batch loss=0.201931, epoch loss=3.625276 Batch=1019, step=10620, lr=0.156000, batch loss=0.278723, epoch loss=3.903999 Batch=1079, step=10680, lr=0.155750, batch loss=0.151886, epoch loss=4.055885 Batch=1139, step=10740, lr=0.155500, batch loss=0.183409, epoch loss=4.239294 Batch=1199, step=10800, lr=0.155250, batch loss=0.154656, epoch loss=4.393951 Epoch=8, step=10800, lr=0.155250, epoch loss=4.393951 Batch=59, step=10860, lr=0.155000, batch loss=0.185303, epoch loss=0.185303 Batch=119, step=10920, lr=0.154750, batch loss=0.154255, epoch loss=0.339558 Batch=179, step=10980, lr=0.154500, batch loss=0.166453, epoch loss=0.506011 Batch=239, step=11040, lr=0.154250, batch loss=0.242884, epoch loss=0.748894 Batch=299, step=11100, lr=0.154000, batch loss=0.170066, epoch loss=0.918961 Batch=359, step=11160, lr=0.153750, batch loss=0.224323, epoch loss=1.143284 Batch=419, step=11220, lr=0.153500, batch loss=0.227551, epoch loss=1.370835 Batch=479, step=11280, lr=0.153250, batch loss=0.204954, epoch loss=1.575789 Batch=539, step=11340, lr=0.153000, batch loss=0.158912, epoch loss=1.734701 Batch=599, step=11400, lr=0.152750, batch loss=0.187019, epoch loss=1.921720 Batch=659, step=11460, lr=0.152500, batch loss=0.262512, epoch loss=2.184233 Batch=719, step=11520, lr=0.152250, batch loss=0.258949, epoch loss=2.443181 Batch=779, step=11580, lr=0.152000, batch loss=0.271035, epoch loss=2.714217 Batch=839, step=11640, lr=0.151750, batch loss=0.250406, epoch loss=2.964623 Batch=899, step=11700, lr=0.151500, batch loss=0.218599, epoch loss=3.183221 Batch=959, step=11760, lr=0.151250, batch loss=0.176758, epoch loss=3.359980 Batch=1019, step=11820, lr=0.151000, batch loss=0.258007, epoch loss=3.617987 Batch=1079, step=11880, lr=0.150750, batch loss=0.142170, epoch loss=3.760157 Batch=1139, step=11940, lr=0.150500, batch loss=0.174527, epoch loss=3.934684 Batch=1199, step=12000, lr=0.150250, batch loss=0.139439, epoch loss=4.074123 Epoch=9, step=12000, lr=0.150250, epoch loss=4.074123 Batch=59, step=12060, lr=0.150000, batch loss=0.163639, epoch loss=0.163639 Batch=119, step=12120, lr=0.149750, batch loss=0.142922, epoch loss=0.306561 Batch=179, step=12180, lr=0.149500, batch loss=0.150772, epoch loss=0.457333 Batch=239, step=12240, lr=0.149250, batch loss=0.218130, epoch loss=0.675464 Batch=299, step=12300, lr=0.149000, batch loss=0.145965, epoch loss=0.821429 Batch=359, step=12360, lr=0.148750, batch loss=0.197036, epoch loss=1.018465 Batch=419, step=12420, lr=0.148500, batch loss=0.209086, epoch loss=1.227551 Batch=479, step=12480, lr=0.148250, batch loss=0.178671, epoch loss=1.406223 Batch=539, step=12540, lr=0.148000, batch loss=0.144633, epoch loss=1.550856 Batch=599, step=12600, lr=0.147750, batch loss=0.149218, epoch loss=1.700074 Batch=659, step=12660, lr=0.147500, batch loss=0.228662, epoch loss=1.928736 Batch=719, step=12720, lr=0.147250, batch loss=0.236931, epoch loss=2.165667 Batch=779, step=12780, lr=0.147000, batch loss=0.266503, epoch loss=2.432170 Batch=839, step=12840, lr=0.146750, batch loss=0.234556, epoch loss=2.666726 Batch=899, step=12900, lr=0.146500, batch loss=0.209950, epoch loss=2.876676 Batch=959, step=12960, lr=0.146250, batch loss=0.157812, epoch loss=3.034488 Batch=1019, step=13020, lr=0.146000, batch loss=0.262482, epoch loss=3.296970 Batch=1079, step=13080, lr=0.145750, batch loss=0.115523, epoch loss=3.412492 Batch=1139, step=13140, lr=0.145500, batch loss=0.151516, epoch loss=3.564008 Batch=1199, step=13200, lr=0.145250, batch loss=0.118798, epoch loss=3.682806 Epoch=10, step=13200, lr=0.145250, epoch loss=3.682806 Batch=59, step=13260, lr=0.145000, batch loss=0.139762, epoch loss=0.139762 Batch=119, step=13320, lr=0.144750, batch loss=0.116991, epoch loss=0.256753 Batch=179, step=13380, lr=0.144500, batch loss=0.128895, epoch loss=0.385648 Batch=239, step=13440, lr=0.144250, batch loss=0.185476, epoch loss=0.571124 Batch=299, step=13500, lr=0.144000, batch loss=0.121861, epoch loss=0.692985 Batch=359, step=13560, lr=0.143750, batch loss=0.162958, epoch loss=0.855943 Batch=419, step=13620, lr=0.143500, batch loss=0.163503, epoch loss=1.019446 Batch=479, step=13680, lr=0.143250, batch loss=0.147618, epoch loss=1.167064 Batch=539, step=13740, lr=0.143000, batch loss=0.119964, epoch loss=1.287029 Batch=599, step=13800, lr=0.142750, batch loss=0.121361, epoch loss=1.408389 Batch=659, step=13860, lr=0.142500, batch loss=0.177767, epoch loss=1.586156 Batch=719, step=13920, lr=0.142250, batch loss=0.178834, epoch loss=1.764990 Batch=779, step=13980, lr=0.142000, batch loss=0.198735, epoch loss=1.963726 Batch=839, step=14040, lr=0.141750, batch loss=0.188586, epoch loss=2.152311 Batch=899, step=14100, lr=0.141500, batch loss=0.159114, epoch loss=2.311426 Batch=959, step=14160, lr=0.141250, batch loss=0.135572, epoch loss=2.446998 Batch=1019, step=14220, lr=0.141000, batch loss=0.299122, epoch loss=2.746120 Batch=1079, step=14280, lr=0.140750, batch loss=0.085745, epoch loss=2.831864 Batch=1139, step=14340, lr=0.140500, batch loss=0.135151, epoch loss=2.967016 Batch=1199, step=14400, lr=0.140250, batch loss=0.093075, epoch loss=3.060091 Epoch=11, step=14400, lr=0.140250, epoch loss=3.060091 Batch=59, step=14460, lr=0.140000, batch loss=0.111366, epoch loss=0.111366 Batch=119, step=14520, lr=0.139750, batch loss=0.103448, epoch loss=0.214814 Batch=179, step=14580, lr=0.139500, batch loss=0.106172, epoch loss=0.320986 Batch=239, step=14640, lr=0.139250, batch loss=0.140765, epoch loss=0.461751 Batch=299, step=14700, lr=0.139000, batch loss=0.084123, epoch loss=0.545875 Batch=359, step=14760, lr=0.138750, batch loss=0.121265, epoch loss=0.667140 Batch=419, step=14820, lr=0.138500, batch loss=0.129113, epoch loss=0.796253 Batch=479, step=14880, lr=0.138250, batch loss=0.105170, epoch loss=0.901423 Batch=539, step=14940, lr=0.138000, batch loss=0.103779, epoch loss=1.005202 Batch=599, step=15000, lr=0.137750, batch loss=0.086718, epoch loss=1.091921 Batch=659, step=15060, lr=0.137500, batch loss=0.130712, epoch loss=1.222633 Batch=719, step=15120, lr=0.137250, batch loss=0.121428, epoch loss=1.344061 Batch=779, step=15180, lr=0.137000, batch loss=0.120865, epoch loss=1.464927 Batch=839, step=15240, lr=0.136750, batch loss=0.120757, epoch loss=1.585684 Batch=899, step=15300, lr=0.136500, batch loss=0.101027, epoch loss=1.686711 Batch=959, step=15360, lr=0.136250, batch loss=0.069871, epoch loss=1.756582 Batch=1019, step=15420, lr=0.136000, batch loss=0.085952, epoch loss=1.842534 Batch=1079, step=15480, lr=0.135750, batch loss=0.061442, epoch loss=1.903977 Batch=1139, step=15540, lr=0.135500, batch loss=0.140232, epoch loss=2.044209 Batch=1199, step=15600, lr=0.135250, batch loss=0.055482, epoch loss=2.099691 Epoch=12, step=15600, lr=0.135250, epoch loss=2.099691 Batch=59, step=15660, lr=0.135000, batch loss=0.085344, epoch loss=0.085344 Batch=119, step=15720, lr=0.134750, batch loss=0.140060, epoch loss=0.225404 Batch=179, step=15780, lr=0.134500, batch loss=0.102550, epoch loss=0.327955 Batch=239, step=15840, lr=0.134250, batch loss=0.101729, epoch loss=0.429684 Batch=299, step=15900, lr=0.134000, batch loss=0.045639, epoch loss=0.475323 Batch=359, step=15960, lr=0.133750, batch loss=0.081961, epoch loss=0.557284 Batch=419, step=16020, lr=0.133500, batch loss=0.082177, epoch loss=0.639461 Batch=479, step=16080, lr=0.133250, batch loss=0.069858, epoch loss=0.709318 Batch=539, step=16140, lr=0.133000, batch loss=0.057225, epoch loss=0.766544 Batch=599, step=16200, lr=0.132750, batch loss=0.109909, epoch loss=0.876453 Batch=659, step=16260, lr=0.132500, batch loss=0.080163, epoch loss=0.956616 Batch=719, step=16320, lr=0.132250, batch loss=0.155619, epoch loss=1.112235 Batch=779, step=16380, lr=0.132000, batch loss=0.478917, epoch loss=1.591152 Batch=839, step=16440, lr=0.131750, batch loss=0.117660, epoch loss=1.708812 Batch=899, step=16500, lr=0.131500, batch loss=0.089845, epoch loss=1.798656 Batch=959, step=16560, lr=0.131250, batch loss=0.042601, epoch loss=1.841257 Batch=1019, step=16620, lr=0.131000, batch loss=0.088809, epoch loss=1.930066 Batch=1079, step=16680, lr=0.130750, batch loss=0.032300, epoch loss=1.962366 Batch=1139, step=16740, lr=0.130500, batch loss=0.070053, epoch loss=2.032419 Batch=1199, step=16800, lr=0.130250, batch loss=0.038426, epoch loss=2.070845 Epoch=13, step=16800, lr=0.130250, epoch loss=2.070845 Batch=59, step=16860, lr=0.130000, batch loss=0.041327, epoch loss=0.041327 Batch=119, step=16920, lr=0.129750, batch loss=0.041819, epoch loss=0.083146 Batch=179, step=16980, lr=0.129500, batch loss=0.048035, epoch loss=0.131181 Batch=239, step=17040, lr=0.129250, batch loss=0.064966, epoch loss=0.196147 Batch=299, step=17100, lr=0.129000, batch loss=0.019960, epoch loss=0.216107 Batch=359, step=17160, lr=0.128750, batch loss=0.048760, epoch loss=0.264867 Batch=419, step=17220, lr=0.128500, batch loss=0.049487, epoch loss=0.314354 Batch=479, step=17280, lr=0.128250, batch loss=0.040621, epoch loss=0.354976 Batch=539, step=17340, lr=0.128000, batch loss=0.044710, epoch loss=0.399685 Batch=599, step=17400, lr=0.127750, batch loss=0.090204, epoch loss=0.489890 Batch=659, step=17460, lr=0.127500, batch loss=0.055109, epoch loss=0.544999 Batch=719, step=17520, lr=0.127250, batch loss=0.073093, epoch loss=0.618092 Batch=779, step=17580, lr=0.127000, batch loss=0.112407, epoch loss=0.730499 Batch=839, step=17640, lr=0.126750, batch loss=0.073177, epoch loss=0.803676 Batch=899, step=17700, lr=0.126500, batch loss=0.094203, epoch loss=0.897879 Batch=959, step=17760, lr=0.126250, batch loss=0.038175, epoch loss=0.936054 Batch=1019, step=17820, lr=0.126000, batch loss=0.069460, epoch loss=1.005514 Batch=1079, step=17880, lr=0.125750, batch loss=0.020015, epoch loss=1.025529 Batch=1139, step=17940, lr=0.125500, batch loss=0.042831, epoch loss=1.068360 Batch=1199, step=18000, lr=0.125250, batch loss=0.018756, epoch loss=1.087116 Epoch=14, step=18000, lr=0.125250, epoch loss=1.087116 Batch=59, step=18060, lr=0.125000, batch loss=0.015737, epoch loss=0.015737 Batch=119, step=18120, lr=0.124750, batch loss=0.021289, epoch loss=0.037026 Batch=179, step=18180, lr=0.124500, batch loss=0.030069, epoch loss=0.067095 Batch=239, step=18240, lr=0.124250, batch loss=0.035345, epoch loss=0.102440 Batch=299, step=18300, lr=0.124000, batch loss=0.012139, epoch loss=0.114579 Batch=359, step=18360, lr=0.123750, batch loss=0.027779, epoch loss=0.142358 Batch=419, step=18420, lr=0.123500, batch loss=0.030476, epoch loss=0.172833 Batch=479, step=18480, lr=0.123250, batch loss=0.014245, epoch loss=0.187078 Batch=539, step=18540, lr=0.123000, batch loss=0.021479, epoch loss=0.208557 Batch=599, step=18600, lr=0.122750, batch loss=0.027976, epoch loss=0.236533 Batch=659, step=18660, lr=0.122250, batch loss=0.027676, epoch loss=0.264209 Batch=719, step=18720, lr=0.122000, batch loss=0.057872, epoch loss=0.322081 Batch=779, step=18780, lr=0.121750, batch loss=0.098947, epoch loss=0.421028 Batch=839, step=18840, lr=0.121500, batch loss=0.056907, epoch loss=0.477935 Batch=899, step=18900, lr=0.121250, batch loss=0.056920, epoch loss=0.534855 Batch=959, step=18960, lr=0.121000, batch loss=0.014206, epoch loss=0.549061 Batch=1019, step=19020, lr=0.120750, batch loss=0.022915, epoch loss=0.571977 Batch=1079, step=19080, lr=0.120500, batch loss=0.013060, epoch loss=0.585037 Batch=1139, step=19140, lr=0.120250, batch loss=0.030001, epoch loss=0.615038 Batch=1199, step=19200, lr=0.120000, batch loss=0.012777, epoch loss=0.627815 Epoch=15, step=19200, lr=0.120000, epoch loss=0.627815 Batch=59, step=19260, lr=0.119750, batch loss=0.012210, epoch loss=0.012210 Batch=119, step=19320, lr=0.119500, batch loss=0.024198, epoch loss=0.036408 Batch=179, step=19380, lr=0.119500, batch loss=0.053013, epoch loss=0.089421 Batch=239, step=19440, lr=0.119000, batch loss=0.024839, epoch loss=0.114260 Batch=299, step=19500, lr=0.118750, batch loss=0.012350, epoch loss=0.126611 Batch=359, step=19560, lr=0.118750, batch loss=0.023210, epoch loss=0.149821 Batch=419, step=19620, lr=0.118500, batch loss=0.020526, epoch loss=0.170347 Batch=479, step=19680, lr=0.118000, batch loss=0.008754, epoch loss=0.179101 Batch=539, step=19740, lr=0.117750, batch loss=0.017495, epoch loss=0.196596 Batch=599, step=19800, lr=0.117500, batch loss=0.024688, epoch loss=0.221284 Batch=659, step=19860, lr=0.117250, batch loss=0.021338, epoch loss=0.242622 Batch=719, step=19920, lr=0.117000, batch loss=0.054485, epoch loss=0.297106 Batch=779, step=19980, lr=0.116750, batch loss=0.086128, epoch loss=0.383234 Batch=839, step=20040, lr=0.116750, batch loss=0.031203, epoch loss=0.414437 Batch=899, step=20100, lr=0.116250, batch loss=0.029957, epoch loss=0.444394 Batch=959, step=20160, lr=0.116000, batch loss=0.018379, epoch loss=0.462772 Batch=1019, step=20220, lr=0.116000, batch loss=0.023592, epoch loss=0.486364 Batch=1079, step=20280, lr=0.115750, batch loss=0.002537, epoch loss=0.488901 Batch=1139, step=20340, lr=0.115500, batch loss=0.015294, epoch loss=0.504195 Batch=1199, step=20400, lr=0.115250, batch loss=0.005927, epoch loss=0.510122 Epoch=16, step=20400, lr=0.115250, epoch loss=0.510122 Batch=59, step=20460, lr=0.115000, batch loss=0.002817, epoch loss=0.002817 Batch=119, step=20520, lr=0.114750, batch loss=0.012266, epoch loss=0.015083 Batch=179, step=20580, lr=0.114500, batch loss=0.025334, epoch loss=0.040417 Batch=239, step=20640, lr=0.114250, batch loss=0.014214, epoch loss=0.054631 Batch=299, step=20700, lr=0.114000, batch loss=0.004441, epoch loss=0.059073 Batch=359, step=20760, lr=0.113750, batch loss=0.015688, epoch loss=0.074760 Batch=419, step=20820, lr=0.113500, batch loss=0.015001, epoch loss=0.089761 Batch=479, step=20880, lr=0.113250, batch loss=0.003944, epoch loss=0.093705 Batch=539, step=20940, lr=0.113000, batch loss=0.021311, epoch loss=0.115015 Batch=599, step=21000, lr=0.112750, batch loss=0.025627, epoch loss=0.140642 Batch=659, step=21060, lr=0.112500, batch loss=0.013828, epoch loss=0.154470 Batch=719, step=21120, lr=0.112250, batch loss=0.025999, epoch loss=0.180469 Batch=779, step=21180, lr=0.112000, batch loss=0.046951, epoch loss=0.227420 Batch=839, step=21240, lr=0.111750, batch loss=0.027786, epoch loss=0.255206 Batch=899, step=21300, lr=0.111500, batch loss=0.029952, epoch loss=0.285158 Batch=959, step=21360, lr=0.111250, batch loss=0.012522, epoch loss=0.297679 Batch=1019, step=21420, lr=0.111000, batch loss=0.011461, epoch loss=0.309141 Batch=1079, step=21480, lr=0.110750, batch loss=0.001557, epoch loss=0.310698 Batch=1139, step=21540, lr=0.110500, batch loss=0.012669, epoch loss=0.323367 Batch=1199, step=21600, lr=0.110250, batch loss=0.004860, epoch loss=0.328226 Epoch=17, step=21600, lr=0.110250, epoch loss=0.328226 Batch=59, step=21660, lr=0.110000, batch loss=0.002024, epoch loss=0.002024 Batch=119, step=21720, lr=0.109750, batch loss=0.007490, epoch loss=0.009514 Batch=179, step=21780, lr=0.109500, batch loss=0.012500, epoch loss=0.022014 Batch=239, step=21840, lr=0.109250, batch loss=0.012997, epoch loss=0.035011 Batch=299, step=21900, lr=0.109000, batch loss=0.003032, epoch loss=0.038043 Batch=359, step=21960, lr=0.108750, batch loss=0.011824, epoch loss=0.049867 Batch=419, step=22020, lr=0.108500, batch loss=0.011657, epoch loss=0.061524 Batch=479, step=22080, lr=0.108250, batch loss=0.002944, epoch loss=0.064468 Batch=539, step=22140, lr=0.108000, batch loss=0.016739, epoch loss=0.081207 Batch=599, step=22200, lr=0.107750, batch loss=0.015925, epoch loss=0.097131 Batch=659, step=22260, lr=0.107500, batch loss=0.013758, epoch loss=0.110890 Batch=719, step=22320, lr=0.107250, batch loss=0.031326, epoch loss=0.142216 Batch=779, step=22380, lr=0.107000, batch loss=0.039296, epoch loss=0.181512 Batch=839, step=22440, lr=0.106750, batch loss=0.021051, epoch loss=0.202563 Batch=899, step=22500, lr=0.106500, batch loss=0.022167, epoch loss=0.224729 Batch=959, step=22560, lr=0.106250, batch loss=0.011174, epoch loss=0.235904 Batch=1019, step=22620, lr=0.106000, batch loss=0.009240, epoch loss=0.245144 Batch=1079, step=22680, lr=0.105750, batch loss=0.000068, epoch loss=0.245212 Batch=1139, step=22740, lr=0.105250, batch loss=0.009806, epoch loss=0.255018 Batch=1199, step=22800, lr=0.105250, batch loss=0.004449, epoch loss=0.259467 Epoch=18, step=22800, lr=0.105250, epoch loss=0.259467 Batch=59, step=22860, lr=0.105000, batch loss=0.001419, epoch loss=0.001419 Batch=119, step=22920, lr=0.104750, batch loss=0.005341, epoch loss=0.006759 Batch=179, step=22980, lr=0.104500, batch loss=0.010771, epoch loss=0.017530 Batch=239, step=23040, lr=0.104250, batch loss=0.009381, epoch loss=0.026911 Batch=299, step=23100, lr=0.104000, batch loss=0.006608, epoch loss=0.033519 Batch=359, step=23160, lr=0.103750, batch loss=0.012149, epoch loss=0.045668 Batch=419, step=23220, lr=0.103500, batch loss=0.010881, epoch loss=0.056549 Batch=479, step=23280, lr=0.103250, batch loss=0.002654, epoch loss=0.059202 Batch=539, step=23340, lr=0.103000, batch loss=0.016388, epoch loss=0.075591 Batch=599, step=23400, lr=0.102750, batch loss=0.013416, epoch loss=0.089007 Batch=659, step=23460, lr=0.102500, batch loss=0.009764, epoch loss=0.098771 Batch=719, step=23520, lr=0.102250, batch loss=0.014625, epoch loss=0.113396 Batch=779, step=23580, lr=0.102000, batch loss=0.022434, epoch loss=0.135830 Batch=839, step=23640, lr=0.101750, batch loss=0.025028, epoch loss=0.160858 Batch=899, step=23700, lr=0.101500, batch loss=0.023374, epoch loss=0.184232 Batch=959, step=23760, lr=0.101250, batch loss=0.008619, epoch loss=0.192851 Batch=1019, step=23820, lr=0.101000, batch loss=0.008125, epoch loss=0.200976 Batch=1079, step=23880, lr=0.100750, batch loss=0.000568, epoch loss=0.201544 Batch=1139, step=23940, lr=0.100500, batch loss=0.009369, epoch loss=0.210913 Batch=1199, step=24000, lr=0.100250, batch loss=0.004767, epoch loss=0.215680 Epoch=19, step=24000, lr=0.100250, epoch loss=0.215680 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########*****************************************.│ │***********###########*************************############*************************************....│ │********######*####*********************************###*###*#********************************.......│ │*******######**##**********************************#*######*#******************************.........│ │*******##*##**##***********..........***************########*##**************************...........│ │*****#######************.......%...%%...***************#########************************..........%.│ │******######***********.........%........***************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######***********.........%%%%.........************#########*******************.........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###*****************..........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###***********...............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######*********..............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###******................%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................****...............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-21 15:33.15 ---> saved as "21d6cfc5f8277b5bd093a751aae01261457141b95124e77f7c8f29a13a9c3306" Job succeeded 2025-03-21 15:33.16: Job succeeded